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Real-time visualization of 3D city models at street-level based on visual saliency.
- Source :
-
SCIENCE CHINA Earth Sciences . Mar2015, Vol. 58 Issue 3, p448-461. 14p. - Publication Year :
- 2015
-
Abstract
- Street-level visualization is an important application of 3D city models. Challenges to street-level visualization include the cluttering of buildings due to fine detail and visualization performance. In this paper, a novel method is proposed for street-level visualization based on visual saliency evaluation. The basic idea of the method is to preserve these salient buildings in a scene while removing those that are non-salient. The method can be divided into pre-processing procedures and real-time visualization. The first step in pre-processing is to convert 3D building models at higher Levels of Detail (LoDs) into LoD1 models with simplified ground plans. Then, a number of index viewpoints are created along the streets; these indices refer to both the position and the direction of each street site. A visual saliency value is computed for each building, with respect to the index site, based on a visual difference between the original model and the generalized model. We calculate and evaluate three methods for visual saliency: local difference, global difference and minimum projection area. The real-time visualization process begins by mapping the observer to its closest indices. The street view is then generated based on the building information stored in those indexes. A user study shows that the local visual saliency method performs better than do the global visual saliency, area and image-based methods and that the framework proposed in this paper may improve the performance of 3D visualization. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16747313
- Volume :
- 58
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- SCIENCE CHINA Earth Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 100952283
- Full Text :
- https://doi.org/10.1007/s11430-014-4955-8